Jameson Merkow
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- Cardiovascular Function and Risk Factors 2
- Signal Processing top 10%
- Biometric Identification and Security 1
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- Retinal Imaging and Analysis 1
- Cardiac Imaging and Diagnostics 1
- COVID-19 diagnosis using AI 1
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- Artificial Intelligence in Healthcare 1
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- Machine Learning in Healthcare 1
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- Face recognition and analysis 1
- Co-authors
- Nathan M. WilsonShawn C. ShaddenAdam UpdegroveAlison L. MarsdenHongzhi LanMarios SavvidesBrendan JouFelix Busch
- Journals
- Radiology (1 paper)Investigative Ophthalmology & Visual Science (1 paper)Annals of Biomedical Engineering (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Jameson Merkow
5 papers receiving 474 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Cardiology and Cardiovascular Medicine 200
- Signal Processing 54
- Pulmonary and Respiratory Medicine 145
- Surgery 176
- Radiology, Nuclear Medicine and Imaging 87
Countries citing papers authored by Jameson Merkow
This map shows the geographic impact of Jameson Merkow's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jameson Merkow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jameson Merkow more than expected).
Fields of papers citing papers by Jameson Merkow
This network shows the impact of papers produced by Jameson Merkow. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jameson Merkow. The network helps show where Jameson Merkow may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jameson Merkow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | Diabetic retinopathy detection from image to classification using deep convolutional neural network | 2016 | 3 |
| 4 | SimVascular: An Open Source Pipeline for Cardiovascular Simulationbreakdown → | 2016 | 417 |
| 5 | SimVascular 2.0: an Integrated Open Source Pipeline for Image-Based Cardiovascular Modeling and Simulation | 2015 | 2 |
| 6 | 2010 | 58 |
About Jameson Merkow
Jameson Merkow is a scholar working on Health Information Management, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 6 papers that have together received 487 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (2 papers), Retinal Imaging and Analysis (1 paper), Artificial Intelligence in Healthcare (1 paper), Cardiac Imaging and Diagnostics (1 paper), Machine Learning in Healthcare (1 paper), Biometric Identification and Security (1 paper), COVID-19 diagnosis using AI (1 paper) and Face recognition and analysis (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (200 citations), Signal Processing (54 citations) and Pulmonary and Respiratory Medicine (145 citations). Jameson Merkow has collaborated with scholars based in United States and Germany. Frequent co-authors include Nathan M. Wilson, Shawn C. Shadden, Adam Updegrove, Alison L. Marsden, Hongzhi Lan, Marios Savvides, Brendan Jou, Felix Busch, Christopher P. Bridge and Thomas Schultz. Their work appears in journals such as Radiology, Investigative Ophthalmology & Visual Science and Annals of Biomedical Engineering.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.